English

A diffusion generated method for computing Dirichlet partitions

Optimization and Control 2018-02-09 v1 Computational Geometry

Abstract

A Dirichlet kk-partition of a closed dd-dimensional surface is a collection of kk pairwise disjoint open subsets such that the sum of their first Laplace-Beltrami-Dirichlet eigenvalues is minimal. In this paper, we develop a simple and efficient diffusion generated method to compute Dirichlet kk-partitions for dd-dimensional flat tori and spheres. For the 2d2d flat torus, for most values of k=3k=3-9,11,12,15,16, and 20, we obtain hexagonal honeycombs. For the 3d3d flat torus and k=2,4,8,16k=2,4,8,16, we obtain the rhombic dodecahedral honeycomb, the Weaire-Phelan honeycomb, and Kelvin's tessellation by truncated octahedra. For the 4d4d flat torus, for k=4k=4, we obtain a constant extension of the rhombic dodecahedral honeycomb along the fourth direction and for k=8k=8, we obtain a 24-cell honeycomb. For the 2d2d sphere, we also compute Dirichlet partitions for k=3k=3-7,9,10,12,14,20. Our computational results agree with previous studies when a comparison is available. As far as we are aware, these are the first published results for Dirichlet partitions of the 4d4d flat torus.

Cite

@article{arxiv.1802.02682,
  title  = {A diffusion generated method for computing Dirichlet partitions},
  author = {Dong Wang and Braxton Osting},
  journal= {arXiv preprint arXiv:1802.02682},
  year   = {2018}
}

Comments

24 pages, 11 figures

R2 v1 2026-06-23T00:15:14.517Z